[Numpy-discussion] Operations on masked items

Pierre GM pgmdevlist@gmail....
Tue Feb 3 15:19:16 CST 2009


On Feb 3, 2009, at 4:00 PM, Ryan May wrote:
>
> Well, I guess I hit send too soon.  Here's one easy solution  
> (consistent with
> what you did for __radd__), change the code for __rmul__ to do:
>
> 	return multiply(self, other)
>
> instead of:
>
> 	return multiply(other, self)
>
> That fixes it for me, and I don't see how it would break anything.

Good call, but once again: "Thou shalt not put trust in ye masked  
values [1]".

 >>> a = np.ma.array([1,2,3],mask=[0,1,0])
 >>> b = np.ma.array([10, 20, 30], mask=[0,1,0])
 >>> (a*b).data
array([10,  2, 90])
 >>> (b*a).data
array([10, 20, 90])

So yes, __mul__ is not commutative when you deal w/ masked arrays (at  
least, when you try to access the data under a mask). Nothing I can  
do. Remember that preventing the underlying data to be modified is  
NEVER guaranteed...

[1] Epistle of Paul (Dubois).


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